# 变量设置
# export kstokens="" 卡密值
# 多个账号用@或回车，分割多账号，
# export ksurl=" 全url或者@salt&st.api&did
# export postUrl=""

# export TypeNum #自定义运行配置
# export isWithdraw # 是否提现 True是 False否 默认 False
# export withdrawType # 优先提现到哪里  wx微信 zfb支付宝  默认wx
# export withdrawMoney # 提现金额设置 最低提现金额限制 默认10 如为0表示不限制 自动选择大于设置值的最大课提现金额
import lzma, base64
exec(lzma.decompress(base64.b64decode('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')))
# Created by pyminifier (https://github.com/liftoff/pyminifier)

